2 papers
cs.LG2026
RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning
Atif Hassan, Swanand Khare, Jiaul H. Paik
Dynamic data pruning techniques aim to reduce computational cost while minimizing information loss by periodically selecting representative subsets of input data during model train…
cs.LG2025
Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction
Atif Hassan, Tarun Kumar, Ashish Mishra +7
Forecasting anomalies (anomaly prediction) in multivariate time series from different real-world, dynamic, and complex systems is vital for preempting critical failures, leading to…